CN109617169A - A kind of lithium ion battery equalization methods based on fuzzy control - Google Patents
A kind of lithium ion battery equalization methods based on fuzzy control Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 66
- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 title claims abstract description 20
- 229910001416 lithium ion Inorganic materials 0.000 title claims abstract description 20
- 230000005611 electricity Effects 0.000 claims description 9
- 230000010354 integration Effects 0.000 claims description 5
- 238000002955 isolation Methods 0.000 claims description 3
- 239000000178 monomer Substances 0.000 claims description 3
- 239000013307 optical fiber Substances 0.000 claims description 3
- 210000001258 synovial membrane Anatomy 0.000 claims description 3
- 238000005303 weighing Methods 0.000 claims 2
- 238000013461 design Methods 0.000 abstract description 4
- 230000000694 effects Effects 0.000 description 11
- 238000010586 diagram Methods 0.000 description 3
- 238000001914 filtration Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 239000002699 waste material Substances 0.000 description 2
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004134 energy conservation Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000003912 environmental pollution Methods 0.000 description 1
- 229910052744 lithium Inorganic materials 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000013178 mathematical model Methods 0.000 description 1
- 230000003446 memory effect Effects 0.000 description 1
- 238000000465 moulding Methods 0.000 description 1
- 230000021715 photosynthesis, light harvesting Effects 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Classifications
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/0013—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries acting upon several batteries simultaneously or sequentially
- H02J7/0014—Circuits for equalisation of charge between batteries
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- H02J7/0021—
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
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- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The invention discloses a kind of lithium ion battery equalization methods based on fuzzy control, belong to technical field of battery balancing, and this method designs two fuzzy control models, the respectively fuzzy control model based on cell voltage and the fuzzy control model based on battery SOC.When battery has obvious voltage difference, it is believed that battery status gap is larger, and the fuzzy control model based on cell voltage sets larger output euqalizing current；When battery SOC gap is smaller, it is believed that battery status gap is smaller, and the fuzzy control model based on battery SOC sets smaller output euqalizing current.According to the voltage difference threshold value of setting, judge using the fuzzy control model based on cell voltage still based on the fuzzy control model of battery SOC.Therefore, the present invention is on the basis of based on the mixed equilibrium method of cell voltage and SOC, in conjunction with fuzzy control, designs the bimodulus fuzzy logic balance control method based on cell voltage and SOC, euqalizing current can change with the variation of battery status.
Description
Technical field
The invention belongs to technical field of battery balancing, in particular to a kind of lithium ion battery equilibrium side based on fuzzy control
Method.
Background technique
In recent years, the problems such as car ownership is continuously increased, and causes increasingly severe environmental pollution and energy waste.With
The raising of people's energy conservation and environmental awareness, pollute electric car small, that energy utilization rate is high and receive significant attention.Meanwhile lithium electricity
Pond has many advantages, such as that self-discharge rate is low, cell voltage is high, charge efficiency is high, high without memory effect, energy density, makes its application
Field is more and more broader, is especially widely used in electric car.In order to reach the requirement of electric car power drive and grow as far as possible
Continual mileage, it usually needs voltage class is improved by the way of series-connected cell, the mode of batteries in parallel connection increases capacity level.
However, existing manufacturing technology is difficult to ensure all battery with two side terminals, and when battery status is inconsistent, the entirety of battery pack
Characteristic will receive the influence of the poor battery of energy state, to influence Dynamic Performance of Electric Vehicle, energy utilization rate and driving
Mileage.
Cell balancing is that energy in battery pack is reallocated or uniformed, so that each battery status in battery pack
It reaches unanimity, is the effective measures for solving the problems, such as that battery is unbalanced.Cell balancing includes energy dissipation or energy transfer
The control method that circuit topological structure and decision circuit normally effectively work.At present, it has been suggested that balanced topological structure, including
Passive type and active, after balanced topological structure determines, the reasonability of balance control method is to determine that balanced topological structure is
An important factor for no efficient operation, plays the role of highly important during battery balanced.
At present there are many battery balanced control method, average value, difference comparsion method be by battery status (voltage or SOC) into
Row compares, and then discharges more than setting upper limit threshold, then charges lower than setting lower threshold, although being simply easily achieved,
Equalization efficiency and precision not can guarantee；Remaining charging capacity maximize equalization methods be by estimating battery remaining power, will be electric
The judgment basis that pond residue charging capacity is charged or discharged as battery, the portfolio effect of this method is ideal, but holds
Amount needs accurate estimation, causes to calculate the huge problem of cost.
In conclusion the relatively simple method such as average value, difference comparsion method is difficult to ensure portfolio effect；Portfolio effect compared with
Good residual capacity maximization approach calculates higher cost.In addition, since each single battery characteristic has differences in battery pack, phase
It mutually influences so that battery pack has the characteristic of strong nonlinearity, it is difficult to establish accurate mathematical model, therefore, equal balance system can not thing
First determine euqalizing current, it is necessary to after detecting battery status, choose according to status informations such as cell voltage, SOC appropriate equal
Weigh electric current.Euqalizing current selection is improper will to seriously affect portfolio effect, for example, adopting when the inconsistent degree of battery is smaller
Battery overbalance will be will lead to biggish euqalizing current, to the phenomenon that loop equilibrium occur；When the inconsistent degree of battery
When larger, lesser euqalizing current can extend time for balance again, and portfolio effect is poor.Therefore, it is necessary to using balanced control appropriate
Method processed, so that exporting suitable euqalizing current under different battery status.
Summary of the invention
In order to overcome the disadvantages of the above prior art, euqalizing current On The Choice is solved.The purpose of the present invention is to provide
A kind of lithium ion battery equalization methods based on fuzzy control are chosen more suitable euqalizing current, are mentioned to reduce calculating cost
Overbalance is prevented while high balancing speed, causes the waste of the energy, and control method is enabled preferably to be applied to actually work as
In.
The present invention adopts the following technical scheme that realize:
A kind of lithium ion battery equalization methods based on fuzzy control, comprising the following steps:
The first step measures battery in battery pack monomer BT using sensor and information acquisition unit TiVoltage, electric current letter
Breath, wherein i=1~n, n are series-connected cell overall number；
Second step, the battery cell BT that will be measurediVoltage, current information be transferred in state estimation module E, to corresponding
Voltage and SOC state carry out estimation calculating；
Third step carries out fuzzy patrol in the voltage of estimation and SOC state parameter input fuzzy logic balance controller C
Collect Balance route；
The equalization command exported by fuzzy logic balance controller C is transferred to equalizing circuit driving and signal by the 4th step
Output unit D；
5th step, equalizing circuit driving and signal output unit D output drive signal control corresponding in equalizing circuit B
Switch Q realizes the equilibrium to battery；
6th step, battery state updates after equilibrium, returns to the first step and continues to execute.
A further improvement of the present invention lies in that in third step, the step of fuzzy logic balance control method are as follows:
301) voltage difference threshold value Vo is preset, according to the voltage difference delta V of battery current state, judges the mould for needing to use
Paste control；
If 302) Δ V >=Vo, control is realized using the fuzzy control model based on cell voltage；Otherwise using based on electricity
The fuzzy control model of pond SOC is controlled.
A further improvement of the present invention lies in that the input quantity of the fuzzy control model based on cell voltage be present battery with
Battery voltage information, for passive equilibrium, input quantity be in present battery and battery pack the voltage difference of the minimum battery of voltage with
The voltage of the minimum battery of voltage in battery pack；
For active equalization between battery and battery, input quantity is present battery and the two batteries average voltages for equilibrium
Voltage difference and two batteries average voltages；
For active equalization between battery and battery pack, input quantity be present battery and battery pack average voltage voltage difference with
Battery pack average voltage is poor.
A further improvement of the present invention lies in that the input quantity of the fuzzy control model based on battery SOC be present battery with
Battery pack SOC information, for passive equilibrium, input quantity is the SOC difference and battery of the minimum battery of SOC in present battery and battery pack
The SOC of the minimum battery of SOC in group；
For active equalization between battery and battery, input quantity is present battery and is averaged SOC for two balanced batteries
SOC difference and two batteries be averaged SOC；
For active equalization between battery and battery pack, input quantity be present battery and battery pack be averaged SOC SOC difference with it is electric
The group SOC that is averaged in pond is poor.
A further improvement of the present invention lies in that the fuzzy control model based on cell voltage and obscuring based on battery SOC
Control module includes fuzzy device, fuzzy rule unit, fuzzy reasoning unit and defuzzifier part；Wherein, fuzzy device will be defeated
Enter amount to be blurred, is converted to the identifiable fuzzy quantity of system；Fuzzy rule unit becomes according to output error and error change
Gesture is designed, and forms system ambiguous model；Fuzzy reasoning unit is made inferences using Fuzzy Logic Reasoning Algorithm and fuzzy rule, is obtained
Fuzzy control quantity out；Obtained fuzzy control quantity anti fuzzy method is final output valve by defuzzifier.
A further improvement of the present invention lies in that sensor and information acquisition unit T include current sensor and voltage sensor
Device, current sensor are Hall current sensor, or are current divider, current transformer, and voltage sensor is voltage transformer, suddenly
That voltage sensor or optical fibre voltage sensor.
A further improvement of the present invention lies in that including more than two single batteries in battery pack.
A further improvement of the present invention lies in that state estimation module E is ampere-hour integral to the estimation method of battery SOC state
Method, imperial Burg's method, the method based on synovial membrane, Kalman filtering method or proportional integration method.
A further improvement of the present invention lies in that equalizing circuit driving and signal output unit D are that power supply IC directly drives, schemes
Rise column driving or isolation drive.
A further improvement of the present invention lies in that equalizing circuit B is passive equalizing circuit, it is main between single battery and single battery
Dynamic equalizing circuit, active equalization circuit between battery modules and battery modules, active equalization circuit between single battery and battery pack, or
Active equalization circuit between person's battery modules and battery pack.
The present invention has following beneficial technical effect:
A kind of lithium ion battery equalization methods based on fuzzy control provided by the invention, this method design two Fuzzy Controls
Molding block, the respectively fuzzy control model based on cell voltage and the fuzzy control model based on battery SOC.When battery has
When obvious voltage difference, it is believed that battery status gap is larger, and it is balanced that the fuzzy control model based on cell voltage sets larger output
Electric current；When battery SOC gap is smaller, it is believed that battery status gap is smaller, the setting of fuzzy control model based on battery SOC compared with
Small output euqalizing current.According to the voltage difference threshold value of setting, judge using fuzzy control model or base based on cell voltage
In the fuzzy control model of battery SOC.Therefore, the present invention is on the basis of based on the mixed equilibrium method of cell voltage and SOC, knot
Fuzzy control is closed, designs the bimodulus fuzzy logic balance control method based on cell voltage and SOC, euqalizing current can be with battery shape
The variation of state and change, when battery status gap is larger, euqalizing current is larger, shortens time for balance, and battery status gap is smaller
When, euqalizing current is smaller, prevents overbalance.
Detailed description of the invention
Fig. 1 is overall procedure frame diagram of the invention.
Fig. 2 is fuzzy control block diagram of the present invention.
Fig. 3 is non-equalized waveform figure in the embodiment of the present invention, and Fig. 3 (a) is that cell voltage changes with time figure, Fig. 3 (b)
It changes with time figure for battery SOC.
Fig. 4 is the balance policy variation diagram used in the embodiment of the present invention.
Fig. 5 is portfolio effect figure in the embodiment of the present invention, and Fig. 5 (a) is the portfolio effect figure of cell voltage at any time, Fig. 5
It (b) is the portfolio effect figure of battery SOC at any time.
Specific embodiment
The present invention is described in detail with reference to the accompanying drawing.
Referring to Fig.1, a kind of lithium ion battery equalization methods based on fuzzy control provided by the invention, including following step
It is rapid:
The first step measures battery in battery pack monomer BT using sensor and information collection TiVoltage, current information,
In, i=1~n, n are series-connected cell overall number；
Second step, the battery cell BT that will be measurediVoltage, current information be transferred in state estimation module E, to corresponding
Voltage and SOC state carry out estimation calculating；
Third step carries out fuzzy patrol in the voltage of estimation and SOC state parameter input fuzzy logic balance controller C
Collect Balance route；
The equalization command exported by fuzzy logic balance controller C is transferred to equalizing circuit driving and signal by the 4th step
Output unit D；
5th step, equalizing circuit driving and signal output unit D output drive signal control corresponding in equalizing circuit B
Switch Q realizes the equilibrium to battery；
6th step, state updates after equilibrium, returns to the first step and continues to execute.
Referring to Fig. 2, the step of the described fuzzy logic balance control method are as follows:
301) voltage difference threshold value Vo is preset, according to the voltage difference delta V of battery current state, judges the mould for needing to use
Paste control；
If 302) Δ V >=Vo, control is realized using the fuzzy control model based on cell voltage；Otherwise using based on electricity
The fuzzy control model of pond SOC is controlled.
The input quantity of the fuzzy control model based on cell voltage is present battery and battery voltage information, needle
To passive equilibrium, input quantity is the minimum electricity of voltage in the voltage difference and battery pack of the minimum battery of voltage in present battery and battery pack
The voltage in pond；For active equalization between battery and battery, input quantity is present battery and the average electricity of two batteries for equilibrium
The voltage difference of pressure and two batteries average voltages；For active equalization between battery and battery pack, input quantity is present battery and electricity
The voltage difference and battery pack average voltage of pond group average voltage are poor.
The input quantity of the fuzzy control model based on battery SOC is present battery and battery pack SOC information, for
Passive balanced, input quantity is the minimum battery of SOC in the SOC difference and battery pack of the minimum battery of SOC in present battery and battery pack
SOC；For active equalization between battery and battery, input quantity is present battery and is averaged the SOC of SOC for two balanced batteries
Difference is averaged SOC with two batteries；For active equalization between battery and battery pack, input quantity is that present battery and battery pack are average
The SOC difference of SOC and the battery pack SOC that is averaged are poor.
Fuzzy control model based on cell voltage and the fuzzy control model based on battery SOC include fuzzy device, mould
Paste rules unit, fuzzy reasoning unit and defuzzifier, wherein input quantity is blurred by fuzzy device, and the system of being converted to can
The fuzzy quantity of identification；Fuzzy rule unit is designed according to output error and error change trend, forms system ambiguous model；
Fuzzy reasoning unit is made inferences using Fuzzy Logic Reasoning Algorithm and fuzzy rule, obtains fuzzy control quantity；Defuzzifier will obtain
Fuzzy control quantity anti fuzzy method be final output valve.
The current sensor being related in the sensor and information acquisition unit T is Hall current sensor, or is
The device of the measurable electric current such as current divider, current transformer, the voltage sensor being related to are voltage transformer, Hall voltage biography
The device of the measurable voltage such as sensor, optical fibre voltage sensor.
It include more than two single batteries in the battery pack.
The state estimation module E can be current integration method, imperial Burg's method, base to the estimation method of battery SOC state
In the method for synovial membrane, Kalman filtering method or proportional integration method etc..
The equalizing circuit driving and signal output unit D can directly drive for power supply IC, totem drives or isolation
The driving methods such as driving.
The equalizing circuit B can be passive equalizing circuit, active equalization circuit between single battery and single battery, battery
Active equalization circuit between mould group and battery modules, active equalization circuit or battery modules and electricity between single battery and battery pack
Active equalization circuit etc. between the group of pond.
A specific embodiment is given below:
It should be noted that the present embodiment is one embodiment of the present invention, without departing substantially from spirit of that invention and its
In the case where essence, those skilled in the art can make various corresponding changes and modifications, but this according to the present invention
A little change and modification should fall within the scope of protection of the appended claims of the present invention.
It is connected in series in the present embodiment using 4 section lithium ion batteries, initial SOC is respectively set to 95%, 90%, 86% and
80%, referring to Fig. 3 (a), when not using any balanced measure, cell voltage is larger at electric discharge initial stage and latter stage gap, and is putting
Electric mid-life voltage gap is smaller；Referring to Fig. 3 (b), when not balanced, battery SOC gap is held essentially constant.
Referring to Fig. 3, using a kind of lithium ion battery equalization methods based on fuzzy control provided by the invention, balanced initial stage
Due to Δ V > Vo, using the fuzzy control method based on cell voltage, larger current carries out balanced；After time substantially 900s,
Δ V < Vo is unsatisfactory for the unlocking condition of the fuzzy control model based on cell voltage, using the fuzzy control side based on battery SOC
Method, low current carry out balanced；When 2500s, battery is in electric discharge latter stage, and voltage difference increases again, Δ V > Vo, at this point, again
Using the fuzzy control method based on cell voltage, euqalizing current is larger；When close to 2800s, cell voltage difference and SOC difference meet
Condition for consistence, equilibrium terminate.
Fig. 5 is the portfolio effect figure of cell voltage and SOC in the present embodiment, is compared with Fig. 3, it can be seen that is based on battery
Voltage can control balanced well with the bimodulus fuzzy logic balance control method of SOC, and balancing speed is very fast, and effect is obvious.From
Fig. 4 can be seen that battery is in electric discharge initial stage and latter stage, when voltage difference is larger, using the fuzzy control based on cell voltage, and
Electric discharge mid-term, voltage difference is smaller, when SOC gap is obvious, using the fuzzy control based on battery SOC.Euqalizing current is shown in Fig. 3
Constantly change with battery status change, prevents from improving balancing speed while overbalance.
Claims (10)
1. a kind of lithium ion battery equalization methods based on fuzzy control, which comprises the following steps:
The first step measures battery in battery pack monomer BT using sensor and information acquisition unit TiVoltage, current information,
In, i=1~n, n are series-connected cell overall number；
Second step, the battery cell BT that will be measurediVoltage, current information be transferred in state estimation module E, to corresponding electricity
Pressure and SOC state carry out estimation calculating；
It is equal to carry out fuzzy logic by the voltage of estimation and SOC state parameter input fuzzy logic balance controller C for third step
Weighing apparatus control；
The equalization command exported by fuzzy logic balance controller C is transferred to equalizing circuit driving and signal exports by the 4th step
Cells D；
5th step, equalizing circuit driving and signal output unit D output drive signal, control and switch accordingly in equalizing circuit B
Q realizes the equilibrium to battery；
6th step, battery state updates after equilibrium, returns to the first step and continues to execute.
2. a kind of lithium ion battery equalization methods based on fuzzy control according to claim 1, which is characterized in that third
In step, the step of fuzzy logic balance control method are as follows:
301) voltage difference threshold value Vo is preset, according to the voltage difference delta V of battery current state, judges the Fuzzy Control for needing to use
System；
If 302) Δ V >=Vo, control is realized using the fuzzy control model based on cell voltage；Otherwise using based on battery
The fuzzy control model of SOC is controlled.
3. a kind of lithium ion battery equalization methods based on fuzzy control according to claim 2, which is characterized in that be based on
The input quantity of the fuzzy control model of cell voltage is present battery and battery voltage information, for passive equilibrium, input quantity
For in present battery and battery pack in the voltage difference and battery pack of the minimum battery of voltage the minimum battery of voltage voltage；
For active equalization between battery and battery, input quantity is present battery and the electricity for two balanced batteries average voltages
Pressure difference and two batteries average voltages；
For active equalization between battery and battery pack, input quantity is the voltage difference and battery of present battery and battery pack average voltage
Group average voltage is poor.
4. a kind of lithium ion battery equalization methods based on fuzzy control according to claim 2, which is characterized in that be based on
The input quantity of the fuzzy control model of battery SOC is present battery and battery pack SOC information, and for passive equilibrium, input quantity is
In present battery and battery pack in the SOC difference Yu battery pack of the minimum battery of SOC the minimum battery of SOC SOC；
For active equalization between battery and battery, input quantity is present battery and is averaged the SOC of SOC for two balanced batteries
Difference is averaged SOC with two batteries；
For active equalization between battery and battery pack, input quantity be present battery and battery pack be averaged SOC SOC is poor and battery pack
Average SOC is poor.
5. a kind of lithium ion battery equalization methods based on fuzzy control according to claim 3 or 4, which is characterized in that
Fuzzy control model based on cell voltage and the fuzzy control model based on battery SOC include fuzzy device, fuzzy rule list
Member, fuzzy reasoning unit and defuzzifier part；Wherein, input quantity is blurred by fuzzy device, and being converted to system can recognize
Fuzzy quantity；Fuzzy rule unit is designed according to output error and error change trend, forms system ambiguous model；It is fuzzy
Reasoning element is made inferences using Fuzzy Logic Reasoning Algorithm and fuzzy rule, obtains fuzzy control quantity；The mould that defuzzifier will obtain
Paste control amount anti fuzzy method is final output valve.
6. a kind of lithium ion battery equalization methods based on fuzzy control according to claim 1, which is characterized in that sensing
Device and information acquisition unit T include current sensor and voltage sensor, and current sensor is Hall current sensor, or to divide
Device, current transformer are flowed, voltage sensor is voltage transformer, Hall voltage sensor or optical fibre voltage sensor.
7. a kind of lithium ion battery equalization methods based on fuzzy control according to claim 1, which is characterized in that battery
It include more than two single batteries in group.
8. a kind of lithium ion battery equalization methods based on fuzzy control according to claim 1, which is characterized in that state
Estimation module E is current integration method, imperial Burg's method, the method based on synovial membrane, Kalman's filter to the estimation method of battery SOC state
Wave method or proportional integration method.
9. a kind of lithium ion battery equalization methods based on fuzzy control according to claim 1, which is characterized in that balanced
Circuit drives and signal output unit D are that power supply IC directly drives, totem drives or isolation drive.
10. a kind of lithium ion battery equalization methods based on fuzzy control according to claim 1, which is characterized in that
Weighing apparatus circuit B is passive equalizing circuit, and active equalization circuit between single battery and single battery is main between battery modules and battery modules
Dynamic equalizing circuit, active equalization circuit between active equalization circuit or battery modules and battery pack between single battery and battery pack.
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110048444A (en) * | 2019-05-31 | 2019-07-23 | 闽江学院 | A kind of lead-acid battery fuzzy control method based on SOC state estimation |
| CN110231577A (en) * | 2019-06-14 | 2019-09-13 | 安徽锐能科技有限公司 | A kind of SOE estimation device for mending electric-type active equalization based on battery |
| CN110231576A (en) * | 2019-06-14 | 2019-09-13 | 安徽锐能科技有限公司 | A kind of SOE estimation method for mending electric-type active equalization based on battery |
| CN110293880A (en) * | 2019-07-09 | 2019-10-01 | 中国计量大学 | Electric car power supply acquisition and balanced management method |
| CN110320473A (en) * | 2019-07-26 | 2019-10-11 | 上海理工大学 | One kind being based on Kalman filtering and fuzzy logic automobile lithium battery capacity estimation method |
| CN110395142A (en) * | 2019-07-16 | 2019-11-01 | 奇瑞新能源汽车股份有限公司 | A kind of battery balanced control method of Adaptive Fuzzy Neural-network and its control system |
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| CN112757961A (en) * | 2020-12-23 | 2021-05-07 | 南京工程学院 | Lithium battery SOC estimation method, active equalization control method and system |
| CN113341705A (en) * | 2021-04-20 | 2021-09-03 | 武汉客车制造股份有限公司 | Power battery system control method and device based on fuzzy control algorithm |
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